JOURNAL ARTICLE
Constitutional Amendments in Algeria: Getting Through the Bottleneck.
Published In: Manchester Journal of Transnational Islamic Law & Practice, 2023, v. 19, n. 3. P. 152 1 of 3
Database: Legal Source 2 of 3
Authored By: Abdellaoui, Samia 3 of 3
Abstract
National constitutions are the highest legal documents and hold the utmost legal authority in a state. Importantly, national constitutions also evolves over time to reflect the ideological, legal, social, political, and economic developments, and inevitably undergo revisions and modifications to adapt to such developments. Consequently, the constitutional text is shaped by, and has an impact upon, these diverse developments. In order to remain relevant and responsive to evolving circumstances, defined procedures for amendments in the constitutional provisions are mostly provided in a constitution. Although the procedure of amending the constitution in Algeria has evolved overtime, it still provides limited bases for amendments. This article argues that the existing limited possibility to amend the constitution in Algeria presents a challenge of accumulating the prevailing conditions, both internal or external to the state, that require constitutional change. Such limitations cause a bottleneck effect, restricting constitutional harmonisation with the changing conditions and potentially impacting the stability of the entire constitutional framework. This article makes practical suggestions to overcome the obstacles to making amendments in the Algerian constitution. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Manchester Journal of Transnational Islamic Law & Practice. 2023/09, Vol. 19, Issue 3, p152
- Document Type:Article
- Subject Area:Politics and Government
- Publication Date:2023
- ISSN:17423945
- Accession Number:174026162
- Copyright Statement:Copyright of Manchester Journal of Transnational Islamic Law & Practice is the property of ElectronicPublications.org Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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